code: def describe(self, attribute: Optional[str] = None) -> pd.DataFrame:
      args = self.model_storage.json_get("args")
      ml = MonkeyLearn(args["api_key"])
      response = ml.classifiers.detail(args["model_id"])
      description = {}
      description["name"] = response.body["name"]
      description["model_version"] = response.body["model_version"]
      description["date_created"] = response.body["created"]
      # pre-trained monkeylearn models guide about what industries they can be used
      description["industries"] = response.body["industries"]
      des_df = pd.DataFrame([description])
      return des_df
  
file_path: mindsdb/mindsdb/integrations/handlers/monkeylearn_handler/monkeylearn_handler.py
imports: from typing import Optional, Dict
  import pandas
  import requests
  from monkeylearn import MonkeyLearn
  from mindsdb.integrations.libs.base import BaseMLEngine
label_desc: Use image node_id 4 for calling the monkeylearnHandler obj's underlying member method code with example usage: obj.describe(attribute) and returns: des_df